Kevin McGuinness

205 papers A* 8A 11B 20C 6Misc 4Journal 91Unranked 65

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing Brain Disease Diagnosis with XAI: A Review of Recent Studies. ACM Trans. Comput. Heal. Nighat Bibi, Jane Courtney, Kevin McGuinness
2024	—	`conf`	An Accurate Detection Is Not All You Need to Combat Label Noise in Web-Noisy Datasets. ECCV (49) Paul Albert, Jack Valmadre, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
2024	J	`jnl`	An accurate detection is not all you need to combat label noise in web-noisy datasets. CoRR Paul Albert, Jack Valmadre, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
2024	J	`jnl`	Dataset Clustering for Improved Offline Policy Learning. CoRR Qiang Wang, Yixin Deng, Francisco Roldan Sanchez, Keru Wang, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
2024	J	`jnl`	Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies. IEEE Robotics Autom. Lett. Qiang Wang, Robert McCarthy, David Cordova Bulens, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
2024	A	`conf`	Learning Saliency From Fixations. WACV Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
2024	—	`conf`	Learning and Reusing Primitive Behaviours to Improve Hindsight Experience Replay Sample Efficiency. ICARA Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
2024	—	`conf`	Synthetic Balancing of Cardiac MRI Datasets. MIUA (2) Carles García-Cabrera, Eric Arazo Sanchez, Enric Moreu, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
2024	—	`conf`	Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach. CVPR Workshops Ayush K. Rai, Tarun Krishna, Feiyan Hu, Alexandru Drimbarean, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
2023	J	`jnl`	An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans. CoRR Sidra Aleem, Mayug Maniparambil, Suzanne Little, Noel E. O'Connor, Kevin McGuinness
2023	J	`jnl`	Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning. CoRR Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Stephen J. Redmond
2023	—	`conf`	Cardiac Magnetic Resonance Phase Detection Using Neural Networks. AICS Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
2023	J	`jnl`	Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks. Expert Syst. J. Knowl. Eng. Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
2023	—	`conf`	Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts. ICCV (Workshops) Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor
2023	J	`jnl`	Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts. CoRR Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor
2023	J	`jnl`	Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. Data Min. Knowl. Discov. Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
2023	—	`conf`	Hierarchical Reinforcement Learning for In-hand Robotic Manipulation Using Davenport Chained Rotations. ICARA Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
2023	Misc	`conf`	Improving Behavioural Cloning with Positive Unlabeled Learning. CoRL Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Nico Gürtler, Felix Widmaier, Stephen J. Redmond
2023	A	`conf`	Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. WACV Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
2023	J	`jnl`	Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. CoRR Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
2023	J	`jnl`	Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. Expert Syst. J. Knowl. Eng. Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
2023	J	`jnl`	Learning Saliency From Fixations. CoRR Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
2023	J	`jnl`	Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency. CoRR Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
2023	A	`conf`	Motion Aware Self-Supervision for Generic Event Boundary Detection. WACV Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
2023	B	`conf`	Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. IJCNN Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
2023	J	`jnl`	Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. CoRR Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
2023	J	`jnl`	Site-specific Deep Learning Path Loss Models based on the Method of Moments. CoRR Conor Brennan, Kevin McGuinness
2023	A	`conf`	TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. WACV Feiyan Hu, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Morteza Moradi, Concetto Spampinato, Kevin McGuinness
2023	J	`jnl`	TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. CoRR Feiyan Hu, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Morteza Moradi, Concetto Spampinato, Kevin McGuinness
2023	A	`conf`	Unifying Synergies between Self-supervised Learning and Dynamic Computation. BMVC Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Eric Arazo, Paul Albert, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor
2023	J	`jnl`	Unifying Synergies between Self-supervised Learning and Dynamic Computation. CoRR Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor
2023	J	`jnl`	Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach. CoRR Ayush K. Rai, Tarun Krishna, Feiyan Hu, Alexandru Drimbarean, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
2023	A	`conf`	Vision Transformers are Inherently Saliency Learners. BMVC Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
2022	C	`conf`	A Fine Grained Quality Assessment of Video Anomaly Detection. CBMI Jiang Zhou, Kevin McGuinness, Joseph Antony, Noel E. O'Connor
2022	A	`conf`	Addressing out-of-distribution label noise in webly-labelled data. WACV Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2022	B	`conf`	BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. LREC Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor
2022	J	`jnl`	BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. CoRR Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor
2022	A	`conf`	BaseTransformers: Attention over base data-points for One Shot Learning. BMVC Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor
2022	J	`jnl`	BaseTransformers: Attention over base data-points for One Shot Learning. CoRR Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor
2022	—	`conf`	Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts. STACOM@MICCAI Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts. CoRR Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks. CoRR Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
2022	J	`jnl`	Domain Randomization for Object Counting. CoRR Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor
2022	J	`jnl`	Dynamic Channel Selection in Self-Supervised Learning. CoRR Tarun Krishna, Ayush K. Rai, Yasser Abdelaziz Dahou Djilali, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor
2022	—	`conf`	Embedding Contrastive Unsupervised Features to Cluster In- And Out-of-Distribution Noise in Corrupted Image Datasets. ECCV (31) Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets. CoRR Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2022	B	`conf`	Evaluation of Automatically Generated Video Captions Using Vision and Language Models. ICIP Luis Lebron, Yvette Graham, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers. CoRR Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
2022	J	`jnl`	Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations. CoRR Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
2022	—	`conf`	Improving Person Re-Identification with Temporal Constraints. WACV (Workshops) Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. CoRR Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Motion Aware Self-Supervision for Generic Event Boundary Detection. CoRR Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
2022	Misc	`conf`	Pixinwav: Residual Steganography for Hiding Pixels in Audio. ICASSP Margarita Geleta, Cristina Punti, Kevin McGuinness, Jordi Pons, Cristian Canton, Xavier Giró-i-Nieto
2022	J	`jnl`	Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets. CoRR Sidra Aleem, Teerath Kumar, Suzanne Little, Malika Bendechache, Rob Brennan, Kevin McGuinness
2022	J	`jnl`	Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video. CoRR Eric Arazo, Robin Aly, Kevin McGuinness
2022	J	`jnl`	Synthetic data for unsupervised polyp segmentation. CoRR Enric Moreu, Kevin McGuinness, Noel E. O'Connor
2022	—	`conf`	Towards advanced robotic manipulation. IRC Francisco Roldan Sanchez, Stephen J. Redmond, Kevin McGuinness, Noel E. O'Connor
2022	J	`jnl`	Towards advanced robotic manipulation. CoRR Francisco Roldan Sanchez, Stephen James Redmond, Kevin McGuinness, Noel E. O'Connor
2022	—	`conf`	Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CVPR Workshops Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CoRR Paul Albert, Mohamed Saadeldin, Badri Narayanan, Jaime B. Fernandez, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation. CoRR Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling H. O'Connor, Noel E. O'Connor, Kevin McGuinness
2021	—	`conf`	Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions. AICS Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Noel E. O'Connor, Brian Mac Namee
2021	J	`jnl`	Addressing out-of-distribution label noise in webly-labelled data. CoRR Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2021	J	`jnl`	Automatic CNN-Based Enhancement of 360° Video Experience With Multisensorial Effects. IEEE Access John Patrick Sexton, Anderson Augusto Simiscuka, Kevin McGuinness, Gabriel-Miro Muntean
2021	J	`jnl`	Discerning Generic Event Boundaries in Long-Form Wild Videos. CoRR Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
2021	—	`conf`	Domain Randomization for Object Counting. AICS Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor
2021	B	`conf`	Evaluating Contrastive Models for Instance-based Image Retrieval. ICMR Tarun Krishna, Kevin McGuinness, Noel E. O'Connor
2021	J	`jnl`	Evaluating Contrastive Models for Instance-based Image Retrieval. CoRR Tarun Krishna, Kevin McGuinness, Noel E. O'Connor
2021	J	`jnl`	Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset. CoRR Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Brian Mac Namee
2021	A	`conf`	How Important is Importance Sampling for Deep Budgeted Training? BMVC Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2021	J	`jnl`	How Important is Importance Sampling for Deep Budgeted Training? CoRR Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2021	J	`jnl`	Improving Person Re-Identification with Temporal Constraints. CoRR Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness
2021	A*	`conf`	Multi-Objective Interpolation Training for Robustness To Label Noise. CVPR Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2021	J	`jnl`	PixInWav: Residual Steganography for Hiding Pixels in Audio. CoRR Margarita Geleta, Cristina Punti, Kevin McGuinness, Jordi Pons, Cristian Canton, Xavier Giró-i-Nieto
2021	B	`conf`	ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. IJCNN Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2021	J	`jnl`	Real Robot Challenge using Deep Reinforcement Learning. CoRR Robert McCarthy, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
2021	—	`conf`	Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
2021	J	`jnl`	Restricted Boltzmann machine as an aggregation technique for binary descriptors. Vis. Comput. Szymon Sobczak, Rafal Kapela, Kevin McGuinness, Aleksandra Swietlicka, Dariusz Pazderski, Noel E. O'Connor
2021	A*	`conf`	Rethinking 360° Image Visual Attention Modelling with Unsupervised Learning. ICCV Yasser Abdelaziz Dahou Djilali, Tarun Krishna, Kevin McGuinness, Noel E. O'Connor
2021	—	`conf`	Semi-supervised dry herbage mass estimation using automatic data and synthetic images. ICCVW Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
2021	J	`jnl`	Semi-supervised dry herbage mass estimation using automatic data and synthetic images. CoRR Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
2021	—	`conf`	Simple baselines can fool 360° saliency metrics. ICCVW Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
2021	—	`conf`	Solving the Real Robot Challenge Using Deep Reinforcement Learning. AICS Robert McCarthy, Francsico Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
2021	—	`conf`	Synthetic Data for Unsupervised Polyp Segmentation. AICS Enric Moreu, Kevin McGuinness, Noel E. O'Connor
2021	—	`conf`	Temporal Bilinear Encoding Network of Audio-visual Features at Low Sampling Rates. VISIGRAPP (5: VISAPP) Feiyan Hu, Eva Mohedano, Noel E. O'Connor, Kevin McGuinness
2021	Misc	`conf`	Unsupervised Contrastive Learning of Sound Event Representations. ICASSP Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra
2020	—	`conf`	3DSAL: An Efficient 3D-CNN Architecture for Video Saliency Prediction. VISIGRAPP (4: VISAPP) Yasser Abdelaziz Dahou Djilali, Mohamed Sayah, Kevin McGuinness, Noel E. O'Connor
2020	—	`conf`	A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. IDSTA David Azcona, Kevin McGuinness, Alan F. Smeaton
2020	J	`jnl`	A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. CoRR David Azcona, Kevin McGuinness, Alan F. Smeaton
2020	A*	`conf`	A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization. ACM Multimedia Sha Yu, Kevin McGuinness, Patricia Moore, David Azcona, Noel E. O'Connor
2020	J	`jnl`	ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos. CoRR Yasser Abdelaziz Dahou Djilali, Marouane Tliba, Kevin McGuinness, Noel E. O'Connor
2020	—	`conf`	ATSal: An Attention Based Architecture for Saliency Prediction in 360$^\circ $ Videos. ICPR Workshops (3) Yasser Dahou, Marouane Tliba, Kevin McGuinness, Noel E. O'Connor
2020	—	`conf`	Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages. VarDial@COLING Bharathi Raja Chakravarthi, Navaneethan Rajasekaran, Mihael Arcan, Kevin McGuinness, Noel E. O'Connor, John P. McCrae
2020	B	`conf`	FastSal: a Computationally Efficient Network for Visual Saliency Prediction. ICPR Feiyan Hu, Kevin McGuinness
2020	J	`jnl`	FastSal: a Computationally Efficient Network for Visual Saliency Prediction. CoRR Feiyan Hu, Kevin McGuinness
2020	B	`conf`	How important are faces for person re-identification? ICPR Julia Dietlmeier, Joseph Antony, Kevin McGuinness, Noel E. O'Connor
2020	J	`jnl`	How important are faces for person re-identification? CoRR Julia Dietlmeier, Joseph Antony, Kevin McGuinness, Noel E. O'Connor
2020	A	`conf`	Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems. ICME Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan D. Redzic, Jian Tang, Zhilan Hu, Alan F. Smeaton, Noel E. O'Connor
2020	J	`jnl`	Investigating Class-level Difficulty Factors in Multi-label Classification Problems. CoRR Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan D. Redzic, Jian Tang, Zhilan Hu, Alan F. Smeaton, Noel E. O'Connor
2020	J	`jnl`	Multi-Objective Interpolation Training for Robustness to Label Noise. CoRR Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2020	—	`conf`	On the Use of 3D CNNs for Video Saliency Modeling. VISIGRAPP (Revised Selected Papers) Yasser Abdelaziz Dahou Djilali, Mohamed Sayah, Kevin McGuinness, Noel E. O'Connor
2020	B	`conf`	Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. IJCNN Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2020	J	`jnl`	ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. CoRR Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2020	J	`jnl`	Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates. CoRR Feiyan Hu, Eva Mohedano, Noel E. O'Connor, Kevin McGuinness
2020	B	`conf`	Towards Robust Learning with Different Label Noise Distributions. ICPR Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2020	J	`jnl`	Unsupervised Contrastive Learning of Sound Event Representations. CoRR Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra
2019	C	`ed.`	2019 International Conference on Content-Based Multimedia Indexing, CBMI 2019, Dublin, Ireland, September 4-6, 2019 CBMI Cathal Gurrin, Björn Þór Jónsson, Renaud Péteri, Stevan Rudinac, Stéphane Marchand-Maillet, Georges Quénot, Kevin McGuinness, Gylfi Þór Guðmundsson, Suzanne Little, Marie Katsurai, Graham Healy
2019	—	`conf`	An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval. ICIAP (2) Federico Magliani, Kevin McGuinness, Eva Mohedano, Andrea Prati
2019	J	`jnl`	An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval. CoRR Federico Magliani, Kevin McGuinness, Eva Mohedano, Andrea Prati
2019	—	`conf`	Assessing Knee OA Severity with CNN attention-based end-to-end architectures. MIDL Marc Górriz, Joseph Antony, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor
2019	J	`jnl`	Assessing Knee OA Severity with CNN attention-based end-to-end architectures. CoRR Marc Górriz, Joseph Antony, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor
2019	—	`conf`	Exploring the Impact of Training Data Bias on Automatic Generation of Video Captions. MMM (1) Alan F. Smeaton, Yvette Graham, Kevin McGuinness, Noel E. O'Connor, Seán Quinn, Eric Arazo Sanchez
2019	J	`jnl`	Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity. CoRR Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor
2019	J	`jnl`	Few-shot hypercolumn-based mitochondria segmentation in cardiac and outer hair cells in focused ion beam-scanning electron microscopy (FIB-SEM) data. Pattern Recognit. Lett. Julia Dietlmeier, Kevin McGuinness, Sandra Rugonyi, Teresa Wilson, Alfred L. Nuttall, Noel E. O'Connor
2019	—	`conf`	INSIGHT@DCU TRECVID 2019: Video to Text. TRECVID Luis Lebron, Kevin McGuinness, Noel E. O'Connor
2019	—	`conf`	MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. MediaEval Panagiotis Linardos, Suzanne Little, Kevin McGuinness
2019	J	`jnl`	MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. CoRR Panagiotis Linardos, Suzanne Little, Kevin McGuinness
2019	C	`conf`	On guiding video object segmentation. CBMI Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor
2019	J	`jnl`	On guiding video object segmentation. CoRR Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor
2019	J	`jnl`	Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images. CoRR Jaynal Abedin, Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor, Dietrich Rebholz-Schuhmann, John Newell
2019	J	`jnl`	Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. CoRR Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2019	A	`conf`	Simple vs complex temporal recurrences for video saliency prediction. BMVC Panagiotis Linardos, Eva Mohedano, Juan José Nieto, Noel E. O'Connor, Xavier Giró-i-Nieto, Kevin McGuinness
2019	J	`jnl`	Simple vs complex temporal recurrences for video saliency prediction.. CoRR Panagiotis Linardos, Eva Mohedano, Juan José Nieto, Noel E. O'Connor, Xavier Giró-i-Nieto, Kevin McGuinness
2019	J	`jnl`	Towards Robust Learning with Different Label Noise Distributions. CoRR Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2019	A*	`conf`	Unsupervised Label Noise Modeling and Loss Correction. ICML Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2019	J	`jnl`	Unsupervised label noise modeling and loss correction. CoRR Eric Arazo Sanchez, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2019	—	`conf`	WAV2PIX: Speech-conditioned Face Generation using Generative Adversarial Networks. CVPR Workshops Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto
2019	Misc	`conf`	Wav2Pix: Speech-conditioned Face Generation Using Generative Adversarial Networks. ICASSP Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto
2019	J	`jnl`	Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks. CoRR Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto
2018	—	`conf`	A Text Recognition and Retrieval System for e-Business Image Management. MMM (2) Jiang Zhou, Kevin McGuinness, Noel E. O'Connor
2018	A*	`conf`	Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. ACM Multimedia Paula Gómez Duran, Eva Mohedano, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor
2018	—	`conf`	Dublin's Participation in the Predicting Media Memorability Task at MediaEval 2018. MediaEval Alan F. Smeaton, Owen Corrigan, Paul Dockree, Cathal Gurrin, Graham Healy, Feiyan Hu, Kevin McGuinness, Eva Mohedano, Tomás Ward
2018	—	`conf`	PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. ECCV Workshops (5) Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor
2018	J	`jnl`	PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. CoRR Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor
2018	A*	`conf`	People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting. CVPR Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor
2018	C	`conf`	Saliency Weighted Convolutional Features for Instance Search. CBMI Eva Mohedano, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor
2018	J	`jnl`	Scanpath and saliency prediction on 360 degree images. Signal Process. Image Commun. Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor
2017	—	`conf`	Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks. MLDM Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor
2017	J	`jnl`	Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks. CoRR Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor
2017	—	`conf`	Automatic MOOC Video Classification using Transcript Features and Convolutional Neural Networks. MultiEdTech@MM Houssem Chatbri, Kevin McGuinness, Suzanne Little, Jiang Zhou, Keisuke Kameyama, Paul Kwan, Noel E. O'Connor
2017	—	`conf`	Dublin City University Participation in the VTT Track at TRECVid 2017. TRECVID Haithem Afli, Feiyan Hu, Jinhua Du, Daniel Cosgrove, Kevin McGuinness, Noel E. O'Connor, Eric Arazo Sanchez, Jiang Zhou, Alan F. Smeaton
2017	—	`conf`	Educational video classification by using a transcript to image transform and supervised learning. IPTA Houssem Chatbri, Marlon Oliveira, Kevin McGuinness, Suzanne Little, Keisuke Kameyama, Paul Kwan, Alistair Sutherland, Noel E. O'Connor
2017	J	`jnl`	Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. Int. J. Semantic Comput. Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon, Bijan Fakhri, Noel E. O'Connor, Mark Marsden, Suzanne Little, Kevin McGuinness, David S. Monaghan
2017	—	`conf`	Fully Convolutional Crowd Counting on Highly Congested Scenes. VISIGRAPP (5: VISAPP) Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2017	J	`jnl`	People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting. CoRR Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor
2017	J	`jnl`	Real-time field sports scene classification using colour and frequency space decompositions. J. Real Time Image Process. Rafal Kapela, Kevin McGuinness, Noel E. O'Connor
2017	J	`jnl`	ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification. CoRR Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2017	B	`conf`	ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification. AVSS Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2017	J	`jnl`	SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. CoRR Junting Pan, Cristian Canton-Ferrer, Kevin McGuinness, Noel E. O'Connor, Jordi Torres, Elisa Sayrol, Xavier Giró-i-Nieto
2017	J	`jnl`	Saliency Weighted Convolutional Features for Instance Search. CoRR Eva Mohedano, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor
2017	—	`conf`	SaltiNet: Scan-Path Prediction on 360 Degree Images Using Saliency Volumes. ICCV Workshops Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor
2017	J	`jnl`	SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes. CoRR Marc Assens, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor
2016	J	`jnl`	An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI. CoRR Joseph Antony, Kevin McGuinness, Neil Welch, Joe Coyle, Andy Franklyn-Miller, Noel E. O'Connor, Kieran Moran
2016	B	`conf`	Bags of Local Convolutional Features for Scalable Instance Search. ICMR Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Amaia Salvador, Ferran Marqués, Xavier Giró-i-Nieto
2016	J	`jnl`	Bags of Local Convolutional Features for Scalable Instance Search. CoRR Eva Mohedano, Amaia Salvador, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor, Xavier Giró-i-Nieto
2016	—	`conf`	Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. TRECVID Mark Marsden, Eva Mohedano, Kevin McGuinness, Andrea Calafell, Xavier Giró-i-Nieto, Noel E. O'Connor, Jiang Zhou, Lucas Azevedo, Tobias Daudert, Brian Davis, Manuela Hürlimann, Haithem Afli, Jinhua Du, Debasis Ganguly, Wei Li, Andy Way, Alan F. Smeaton
2016	J	`jnl`	Fully Convolutional Crowd Counting On Highly Congested Scenes. CoRR Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2016	J	`jnl`	Holistic Features For Real-Time Crowd Behaviour Anomaly Detection. CoRR Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2016	B	`conf`	Holistic features for real-time crowd behaviour anomaly detection. ICIP Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2016	—	`conf`	Learning Multiple Views with Orthogonal Denoising Autoencoders. MMM (1) TengQi Ye, Tianchun Wang, Kevin McGuinness, Yu Guo, Cathal Gurrin
2016	J	`jnl`	Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks. CoRR Joseph Antony, Kevin McGuinness, Noel E. O'Connor, Kieran Moran
2016	B	`conf`	Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks. ICPR Joseph Antony, Kevin McGuinness, Noel E. O'Connor, Kieran Moran
2016	B	`conf`	Reduction of false alarms triggered by spiders/cobwebs in surveillance camera networks. ICIP Ramya Hebbalaguppe, Kevin McGuinness, Jogile Kuklyte, Rami Albatal, Cem Direkoglu, Noel E. O'Connor
2016	—	`conf`	Semantic Indexing of Wearable Camera Images: Kids'Cam Concepts. iV&L-MM@MM Alan F. Smeaton, Kevin McGuinness, Cathal Gurrin, Jiang Zhou, Noel E. O'Connor, Peng Wang, Brian Davis, Lucas Azevedo, André Freitas, Louise Signal, Moira Smith, James Stanley, Michelle Barr, Tim Chambers, Cliona Ní Mhurchu
2016	A*	`conf`	Shallow and Deep Convolutional Networks for Saliency Prediction. CVPR Junting Pan, Elisa Sayrol, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor
2016	J	`jnl`	Shallow and Deep Convolutional Networks for Saliency Prediction. CoRR Junting Pan, Kevin McGuinness, Elisa Sayrol, Noel E. O'Connor, Xavier Giró-i-Nieto
2016	C	`conf`	Smart Stadium for Smarter Living: Enriching the Fan Experience. ISM Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Matt Bunch, Noel E. O'Connor, Suzanne Little, Kevin McGuinness, Mark Marsden
2016	J	`jnl`	Where is my Phone ? Personal Object Retrieval from Egocentric Images. CoRR Cristian Reyes, Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Xavier Giró-i-Nieto
2016	—	`conf`	Where is my Phone?: Personal Object Retrieval from Egocentric Images. LTA@MM Cristian Reyes, Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Xavier Giró-i-Nieto
2015	B	`conf`	Exploring EEG for Object Detection and Retrieval. ICMR Eva Mohedano, Kevin McGuinness, Graham Healy, Noel E. O'Connor, Alan F. Smeaton, Amaia Salvador, Sergi Porta, Xavier Giró-i-Nieto
2015	J	`jnl`	Exploring EEG for Object Detection and Retrieval. CoRR Eva Mohedano, Amaia Salvador, Sergi Porta, Xavier Giró-i-Nieto, Graham Healy, Kevin McGuinness, Noel E. O'Connor, Alan F. Smeaton
2015	J	`jnl`	Improving Spatial Codification in Semantic Segmentation. CoRR Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor
2015	J	`jnl`	Improving object segmentation by using EEG signals and rapid serial visual presentation. Multim. Tools Appl. Eva Mohedano, Graham Healy, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor, Alan F. Smeaton
2015	B	`conf`	Improving spatial codification in semantic segmentation. ICIP Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor
2015	—	`conf`	Insight DCU at TRECVid 2015. TRECVID Kevin McGuinness, Eva Mohedano, Amaia Salvador, Zhenxing Zhang, Mark Marsden, Peng Wang, Iveel Jargalsaikhan, Joseph Antony, Xavier Giró-i-Nieto, Shin'ichi Satoh, Noel E. O'Connor, Alan F. Smeaton
2014	—	`conf`	AXES @ TRECVID 2014: Instance Search. TRECVID Shu Chen, Kevin McGuinness, Robin Aly, Noel E. O'Connor, Tinne Tuytelaars
2014	C	`conf`	AXES-RESEARCH - A user-oriented tool for enhanced multimodal search and retrieval in audiovisual libraries. CBMI Peggy van der Kreeft, Kay Macquarrie, Max Kemman, Martijn Kleppe, Kevin McGuinness
2014	—	`conf`	Audio-Visual Classification Video Browser. MMM (2) David Scott, Zhenxing Zhang, Rami Albatal, Kevin McGuinness, Esra Acar, Frank Hopfgartner, Cathal Gurrin, Noel E. O'Connor, Alan F. Smeaton
2014	—	`conf`	Average Precision: Good Guide or False Friend to Multimedia Search Effectiveness? MMM (2) Robin Aly, Dolf Trieschnigg, Kevin McGuinness, Noel E. O'Connor, Franciska de Jong
2014	—	`conf`	Fat quantification in MRI-defined lumbar muscles. IPTA Joseph Antony, Kevin McGuinness, Neil Welch, Joe Coyle, Andy Franklyn-Miller, Noel E. O'Connor, Kieran Moran
2014	—	`conf`	Formulating Queries for Collecting Training Examples in Visual Concept Classification. VL@COLING Kevin McGuinness, Feiyan Hu, Rami Albatal, Alan F. Smeaton
2014	—	`conf`	Insight Centre for Data Analytics (DCU) at TRECVid 2014: Instance Search and Semantic Indexing Tasks. TRECVID Kevin McGuinness, Eva Mohedano, Zhenxing Zhang, Feiyan Hu, Rami Albatal, Cathal Gurrin, Noel E. O'Connor, Alan F. Smeaton, Amaia Salvador, Xavier Giró-i-Nieto, Carles Ventura
2014	A*	`conf`	Object Segmentation in Images using EEG Signals. ACM Multimedia Eva Mohedano, Graham Healy, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor, Alan F. Smeaton
2014	J	`jnl`	Object Segmentation in Images using EEG Signals. CoRR Eva Mohedano, Graham Healy, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor, Alan F. Smeaton
2014	J	`jnl`	The Video Browser Showdown: a live evaluation of interactive video search tools. Int. J. Multim. Inf. Retr. Klaus Schoeffmann, David Ahlström, Werner Bailer, Claudiu Cobârzan, Frank Hopfgartner, Kevin McGuinness, Cathal Gurrin, Christian Frisson, Duy-Dinh Le, Manfred del Fabro, Hongliang Bai, Wolfgang Weiss
2013	—	`conf`	DCU at MMM 2013 Video Browser Showdown. MMM (2) David Scott, Jinlin Guo, Cathal Gurrin, Frank Hopfgartner, Kevin McGuinness, Noel E. O'Connor, Alan F. Smeaton, Yang Yang, Zhenxing Zhang
2013	—	`conf`	Identification of moving objects in poor quality surveillance data. WIAMIS Jogile Kuklyte, Kevin McGuinness, Ramya Hebbalaguppe, Cem Direkoglu, Leonardo Gualano, Noel E. O'Connor
2013	B	`conf`	Improved graph cut segmentation by learning a contrast model on the fly. ICIP Kevin McGuinness, Noel E. O'Connor
2013	—	`conf`	Smart multi-modal marine monitoring via visual analysis and data fusion. MAED@ACM Multimedia Dian Zhang, Edel O'Connor, Timothy Sullivan, Kevin McGuinness, Fiona Regan, Noel E. O'Connor
2013	B	`conf`	The AXES PRO video search system. ICMR Kevin McGuinness, Noel E. O'Connor, Robin Aly, Franciska de Jong, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Matthijs Douze, Cordelia Schmid
2013	—	`conf`	The AXES submissions at TRECVID 2013. TRECVID Robin Aly, Relja Arandjelovic, Ken Chatfield, Matthijs Douze, Basura Fernando, Zaïd Harchaoui, Kevin McGuinness, Noel E. O'Connor, Dan Oneata, Omkar M. Parkhi, Danila Potapov, Jérôme Revaud, Cordelia Schmid, Jochen Schwenninger, David Scott, Tinne Tuytelaars, Jakob Verbeek, Heng Wang, Andrew Zisserman
2012	—	`conf`	A visual sensing platform for creating a smarter multi-modal marine monitoring network. MAED@ACM Multimedia Dian Zhang, Edel O'Connor, Kevin McGuinness, Noel Edward O'Connor, Fiona Regan, Alan F. Smeaton
2012	—	`conf`	AXES at TRECVID 2012: KIS, INS, and MED. TRECVID Robin Aly, Kevin McGuinness, Shu Chen, Noel E. O'Connor, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Basura Fernando, Tinne Tuytelaars, Dan Oneata, Matthijs Douze, Jérôme Revaud, Jochen Schwenninger, Danila Potapov, Heng Wang, Zaïd Harchaoui, Jakob Verbeek, Cordelia Schmid
2012	B	`conf`	Efficient Storage and Decoding of SURF Feature Points. MMM Kevin McGuinness, Kealan McCusker, Neil O'Hare, Noel E. O'Connor
2012	—	`conf`	The AXES-lite video search engine. WIAMIS Shu Chen, Kevin McGuinness, Robin Aly, Noel E. O'Connor, Franciska de Jong
2011	—	`conf`	AXES at TRECVID 2011. TRECVID Kevin McGuinness, Robin Aly, Shu Chen, Mathieu Frappier, Martijn Kleppe, Hyowon Lee, Roeland Ordelman, Relja Arandjelovic, Mayank Juneja, C. V. Jawahar, Andrea Vedaldi, Jochen Schwenninger, Sebastian Tschöpel, Daniel Schneider, Noel E. O'Connor, Andrew Zisserman, Alan F. Smeaton, Henri Beunders
2011	J	`jnl`	Toward automated evaluation of interactive segmentation. Comput. Vis. Image Underst. Kevin McGuinness, Noel E. O'Connor
2010	J	`jnl`	A comparative evaluation of interactive segmentation algorithms. Pattern Recognit. Kevin McGuinness, Noel E. O'Connor
2010	—	`conf`	TRECVID 2010 Experiments at Dublin City University. TRECVID Colum Foley, Jinlin Guo, David Scott, Peter Wilkins, Cathal Gurrin, Alan F. Smeaton, Paul Ferguson, Kealan McCusker, Emma Sesmero Diaz, Kevin McGuinness, Noel E. O'Connor, Xavier Giró-i-Nieto, Ferran Marqués
2008	B	`conf`	Incorporating spatio-temporal mid-level features in a region segmentation algorithm for video sequences. ICIP Iván González-Díaz, Kevin McGuinness, Tomasz Adamek, Noel E. O'Connor, Fernando Díaz-de-María
2008	—	`conf`	K-Space at TRECVid 2008. TRECVID Peter Wilkins, Daragh Byrne, Gareth J. F. Jones, Hyowon Lee, Gordon Keenan, Kevin McGuinness, Noel E. O'Connor, Neil O'Hare, Alan F. Smeaton, Tomasz Adamek, Raphaël Troncy, Alia Amin, Rachid Benmokhtar, Emilie Dumont, Benoit Huet, Bernard Mérialdo, Giorgos Tolias, Evaggelos Spyrou, Yannis Avrithis, Georgios Th. Papadopoulos, Vasileios Mezaris, Ioannis Kompatsiaris, Roland Mörzinger, Peter Schallauer, Werner Bailer, Krishna Chandramouli, Ebroul Izquierdo, Lutz Goldmann, Martin Haller, Amjad Samour, Andreas Cobet, Thomas Sikora, Pavel Praks, David Hannah, Martin Halvey, Frank Hopfgartner, Robert Villa, P. Punitha, Anuj Goyal, Joemon M. Jose
2007	—	`conf`	K-Space at TRECVID 2007. TRECVID Peter Wilkins, Tomasz Adamek, Daragh Byrne, Gareth J. F. Jones, Hyowon Lee, Gordon Keenan, Kevin McGuinness, Noel E. O'Connor, Alan F. Smeaton, Alia Amin, Zeljko Obrenovic, Rachid Benmokhtar, Eric Galmar, Benoit Huet, Slim Essid, Rémi Landais, Félicien Vallet, Georgios Th. Papadopoulos, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Evaggelos Spyrou, Yannis Avrithis, Roland Mörzinger, Peter Schallauer, Werner Bailer, Tomas Piatrik, Krishna Chandramouli, Ebroul Izquierdo, Martin Haller, Lutz Goldmann, Amjad Samour, Andreas Cobet, Thomas Sikora, Pavel Praks
2007	—	`conf`	Visual analysis for drum sequence transcription. EUSIPCO Kevin McGuinness, Olivier Gillet, Noel E. O'Connor, Gaël Richard
2006	—	`conf`	A Framework and User Interface for Automatic Region Based Segmentation Algorithms. SAMT (Posters and Demos) Kevin McGuinness, Gordon Keenan, Tomasz Adamek, Noel E. O'Connor
2006	—	`conf`	K-Space at TRECvid 2006. TRECVID Peter Wilkins, Tomasz Adamek, Paul Ferguson, Mark Hughes, Gareth J. F. Jones, Gordon Keenan, Kevin McGuinness, Jovanka Malobabic, Noel E. O'Connor, David A. Sadlier, Alan F. Smeaton, Rachid Benmokhtar, Emilie Dumont, Benoit Huet, Bernard Mérialdo, Evagellos Spyrou, George Koumoulos, Yannis Avrithis, Roland Mörzinger, Peter Schallauer, Werner Bailer, Qianni Zhang, Tomas Piatrik, Krishna Chandramouli, Ebroul Izquierdo, Lutz Goldmann, Martin Haller, Thomas Sikora, Pavel Praks, Jana Urban, Xavier Hilaire, Joemon M. Jose